Triple
T30532278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canon EOS R6 |
E777036
|
entity |
| Predicate | hotShoe |
P169832
|
FINISHED |
| Object | yes |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: yes | Statement: [Canon EOS R6, hotShoe, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hotShoe Context triple: [Canon EOS R6, hotShoe, yes]
-
A.
hotShoeType
Indicates the specific type or standard of hot shoe interface used to connect accessories (such as flashes) to a device.
-
B.
hotspot
Indicates that a location or entity is a focal point of intense activity, interest, or occurrence relative to others.
-
C.
shotOn
Indicates that one entity fired or took a shot at another entity, typically in a sports or combat context.
-
D.
shotBy
Indicates that one entity fired a projectile or weapon that hit and wounded or killed another entity.
-
E.
isHot
Indicates that an entity has a high temperature or is perceived as very warm.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f2249c11508190ae7e955755ccfb01 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6884ceb18819082e8c4002d1faa95 |
completed | May 2, 2026, 11:27 p.m. |
| PD | Predicate disambiguation | batch_69f67e42d6688190b60e91d2c388c555 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f6827a7b9c8190ab13605aacc81df9 |
completed | May 2, 2026, 11:02 p.m. |
Created at: April 29, 2026, 8:18 p.m.